I have two tables defined within my Databricks Cluster on Azure.
1. Table 1 is pointing to local file storage.
2. Table 2 is pointing to a Azure Data Lake Gen 2 storage. This storage is mounted using persistent configuration.
Within Power BI Desktop, I could successfully connect and Direct Query to Table 1 however I get error while connecting to Table 2.
DataSource.Error: ODBC: ERROR [HY000] [Microsoft][Hardy] (35) Error from server: error code: '0' error message: 'com.google.common.util.concurrent.UncheckedExecutionException: com.databricks.backend.daemon.data.common.InvalidMountException: Error while using path /mnt/xxx for resolving path '/yyy.csv' within mount at '/mnt/xxx'.'.
I am basically attempting a setup where Power BI will Direct Query to Databricks Cluster which in turn will access Azure Data Lake Gen 2 Storage.
Any advise on resolution?
Hi @SR2019 ,
Please refer to this document:
Power BI Desktop customers cannot access dataflows stored in an Azure Data Lake Storage Account unless they are the owner of the dataflow, or have been authorized to the CDM folder in the lake.
My scenario does not use Power BI dataflow to connect to DL Gen 2 directly.
I am working on scenario to connect to Databricks table from Power BI. I could connect to natively hosted table ok however table hosted on \mnt (in my case, DL Gen2 location) is throwing error.
ok, the solution is to make a change to your cluster configuration...
details are here
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